Is Nvidia Sitting On The AI Goldmine No One Sees Yet?
Is Nvidia Sitting On The AI Goldmine No One Sees Yet?
Nvidia Corp (NASDAQ:NVDA) has already cemented its dominance in AI. Still, JPMorgan analyst Harlan Sur sees the chip giant poised for even bigger gains – potentially outgrowing overall data center spending.
英偉達公司(納斯達克:NVDA)已經鞏固了其在人工智能領域的主導地位。但摩根大通分析師哈蘭·蘇爾認爲,這家芯片巨頭還有更大的增長潛力,可能會超越整體的IDC概念支出。
With AI factories emerging as wildcards and inference demand set to explode, Nvidia might be sitting on an untapped goldmine.
隨着人工智能工廠作爲變量的出現,推理需求預計將爆炸式增長,英偉達可能正坐擁未開發的金礦。
Nvidia's Next-Gen AI Advantage
英偉達的下一代人工智能優勢
At its recent financial analyst event, Nvidia laid out its roadmap, emphasizing its holistic ecosystem spanning silicon, hardware, software, and a developer base that dwarfs its competition.
在最近的金融分析師活動中,英偉達展示了其路線圖,強調了其涵蓋硅、硬件、軟體的整體生態系統,以及龐大的開發者基礎,遠超競爭對手。
While rivals are still chasing Nvidia's last-gen Hopper GPUs, the company is already rolling out its next-gen Blackwell architecture—promising a staggering 40x performance improvement.
雖然競爭對手還在追趕英偉達的上一代Hopper GPU,但該公司已經推出了下一代Blackwell架構,承諾提供驚人的40倍性能提升。
Sur believes this head start, combined with Nvidia's unrivaled software stack, positions it to dominate AI inference, which could account for 90% of the market in the long run.
蘇爾認爲,這一先發優勢,加上英偉達無與倫比的軟體堆棧,使其在人工智能推理領域佔據主導地位,這在長期內可能佔據90%的市場份額。
The AI Factory Wildcard
人工智能工廠變量
One of the biggest wildcards? AI factories.
最大的變數之一?人工智能工廠。
While Nvidia's projections already factor in data center spending, Sur notes that AI factory investments – potentially worth hundreds of billions – aren't even included in those forecasts yet. If this sector takes off as expected, Nvidia's upside could be even greater than current estimates suggest.
儘管英偉達的預測已考慮到數據中心支出,但Sur指出,人工智能工廠投資——可能價值數千億——甚至尚未包含在這些預測中。如果這個板塊如預期那樣蓬勃發展,英偉達的增幅可能會比目前的估計更大。
Strong Margins And Market Position
強勁的利潤率和市場地位
Meanwhile, custom AI chips from competitors may offer cost savings, but Sur argues that Nvidia's total cost of ownership advantage and revenue-generating potential give it the upper hand. While others scramble to optimize their ASIC solutions, Nvidia continues to integrate its hardware and software seamlessly, making adoption far easier for enterprises.
與此同時,來自競爭對手的定製人工智能芯片可能帶來成本節約,但Sur認爲,英偉達的總體擁有成本優勢和創收潛力使其佔據優勢。在其他公司爭相優化他們的ASIC解決方案時,英偉達繼續無縫集成其硬件和軟體,使企業的採納變得更加容易。
Despite the complexity of transitioning from Hopper to Blackwell, Nvidia expects to stabilize its architecture over the next three to four years, improving margins while maintaining its aggressive lead. With gross margins projected to hit the mid-70% range, the company looks well-positioned to sustain its dominance in AI.
儘管從Hopper過渡到Blackwell的過程複雜,英偉達預計在接下來的三到四年內將穩定其架構,提高利潤率,同時保持其激進的領先地位。預計毛利潤將達到中70%的區間,該公司看起來有良好的條件維持其在人工智能領域的主導地位。
JPMorgan remains bullish, reiterating an Overweight rating on Nvidia stock with a price target of $170 by year-end 2025.
摩根大通保持看好,重申對英偉達股票的超配評級,目標價爲到2025年底170美元。
With data center spending accelerating, AI factories emerging and inference demand surging, Nvidia's growth story may still be in its early chapters.
隨着數據中心支出的加速,人工智能工廠的出現和推理需求的猛增,英偉達的增長故事可能仍處於早期階段。
譯文內容由第三人軟體翻譯。
評論(0)
請選擇舉報原因